How does SAP MDG support data stewardship?

SAP Master Data Governance (MDG) supports data stewardship primarily through its comprehensive features that encompass data validation, lifecycle management, and workflows.

Data validation is crucial for ensuring the accuracy and quality of master data. By enforcing business rules and validation checks, MDG helps data stewards maintain high-quality records, which is essential for effective decision-making and compliance.

Lifecycle management is another key aspect, as it allows data stewards to oversee the entire lifecycle of data entities, from creation to retirement. This ensures that data is consistently managed, updated, and archived, aligning with business rules and regulatory requirements.

Moreover, the workflow capabilities in SAP MDG provide a systematic approach to managing data changes and approvals. This means that data stewards can design and implement approval processes that involve multiple stakeholders, ensuring that all modifications to master data are scrutinized and authorized appropriately.

In contrast, while data analysis and report generation can provide insights into data quality, they do not directly facilitate data stewardship. Automated IT processes might improve efficiency but can lead to a decrease in human oversight, which is contrary to the core principles of data stewardship. Lastly, reducing the number of data stewards might not align with best practices, as a thoughtful approach to stewardship often necessitates sufficient personnel to ensure